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    Results for "random forests"

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 1

      Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Import/Export, Data Analysis, Machine Learning, Data-Driven Decision-Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      52 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Fundamentos de probabilidad y aplicaciones

      Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      174 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Meaningful Predictive Modeling

      Skills you'll gain: Predictive Modeling, Data Validation, Verification And Validation, Applied Machine Learning, Regression Analysis, Supervised Learning, Classification And Regression Tree (CART), Python Programming, Statistical Methods, Scikit Learn (Machine Learning Library), Text Mining, Test Data, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Data Science, Python Programming, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      407 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      77 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Mind and Machine

      Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Statistical Modeling, Probability Distribution, Behavioral Economics, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Human Learning, Human Factors, Theoretical Computer Science, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      360 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Machine Learning, Predictive Modeling, Data Science

      3.2
      Rating, 3.2 out of 5 stars
      ·
      76 reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

      Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Health Care, Unsupervised Learning, Healthcare Industry Knowledge, Healthcare Ethics, Algorithms, Data Cleansing, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Predictive Analytics for Business with H2O in R

      Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      53 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      Universidad de los Andes

      Fundamentos de estadística aplicada

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to random forests

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    In summary, here are 10 of our most popular random forests courses

    • Interpretable Machine Learning Applications: Part 1: Coursera Project Network
    • Introduction to Machine Learning with Python: Arizona State University
    • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
    • Meaningful Predictive Modeling: University of California San Diego
    • Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Machine Learning: Random Forest with Python from Scratch©: Packt
    • Mind and Machine: University of Colorado Boulder
    • AI for Scientific Research: LearnQuest
    • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University

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